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| Presentation | 2022-01-23 11:20 Non-contact Heartbeat Detection based on Diversity Effect Using Multibeam Doppler Sensor Tsukiko Kitagawa, Kohei Yamamoto, Tomoaki Ohtsuki (Keio Univ.)  NLP2021-124 MICT2021-99 MBE2021-85 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Heartbeat is one of the most important biological signals for understanding the state of health. Therefore, heartbeat detection is expected to be applied in the medical and health care fields. In particular, due to their non-contact feature, various heartbeat detection methods using a Doppler sensor have been proposed. Most of conventional methods have used a single beam Doppler sensor. However, the methods using a single-beam Doppler sensor have problems that when the SNR (Signal-to-Noise Ratio) of heartbeat components is low for the beam direction, the heartbeat detection accuracy is likely to degrade. In this report, for more accurate heartbeat detection, we propose a heartbeat detection method based on the diversity effect using a multibeam Doppler sensor. The SNR of the heartbeat component in the received signal is different for each beam, because the chest wall fluctuation caused by heartbeat differs from one reflection site to another. In other words, even if the SNR of the heartbeat component is low for one beam, the SNR could be high for the other beams. Based on this fact, the proposed method detects heartbeat with more robustness against the degradation of the SNR of the heartbeat component by using the received signals of multiple beams. Through the experiments, we confirmed that the proposed method using multibeam detected heartbeat more accurately than the method using single-beam. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Doppler Sensor / RRI estimation / Health care / Diversity effect / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 336, MICT2021-99, pp. 248-253, Jan. 2022. | |
| Paper # | MICT2021-99 | |
| Date of Issue | 2022-01-14 (NLP, MICT, MBE) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NLP2021-124 MICT2021-99 MBE2021-85 |
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| Conference Information | |
| Committee | NLP MICT MBE NC |
| Conference Date | 2022-01-21 - 2022-01-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MICT |
| Conference Code | 2022-01-NLP-MICT-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Non-contact Heartbeat Detection based on Diversity Effect Using Multibeam Doppler Sensor |
| Sub Title (in English) | |
| Keyword(1) | Doppler Sensor |
| Keyword(2) | RRI estimation |
| Keyword(3) | Health care |
| Keyword(4) | Diversity effect |
| Keyword(5) | |
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| 1st Author's Name | Tsukiko Kitagawa |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Kohei Yamamoto |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
| 3rd Author's Name | Tomoaki Ohtsuki |
| 3rd Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-01-23 11:20:00 |
| Presentation Time | 25 minutes |
| Registration for | MICT |
| Paper # | NLP2021-124, MICT2021-99, MBE2021-85 |
| Volume (vol) | vol.121 |
| Number (no) | no.335(NLP), no.336(MICT), no.337(MBE) |
| Page | pp.248-253 |
| #Pages | 6 |
| Date of Issue | 2022-01-14 (NLP, MICT, MBE) |
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